Analytics Assurance - AVP

Barclays•Wilmington, NC

1d•Hybrid

About The Position

The purpose of the role is to enable data-driven strategic and operational decision making through extracting actionable insights from large datasets, performing statistical and advanced analytics to uncover trends and patterns, and presenting findings through clear visualisations and reports. This involves investigating and analysing data issues related to quality, lineage, controls, and authoritative source identification, documenting data sources, methodologies, and quality findings with recommendations for improvement. It also includes designing and building data pipelines to automate data movement and processing, applying advanced analytical techniques to large datasets to uncover trends and correlations, developing validated logical data models, and translating insights into actionable business recommendations that drive operational and process improvements, leveraging machine learning/AI. The role also involves designing and creating interactive dashboards and visual reports using applicable tools and automating reporting processes for regular and ad-hoc stakeholder needs.

Requirements

Advanced analytical techniques to large datasets
Machine learning/AI
Interactive dashboards and visual reports
Automate reporting processes
Create complex queries utilizing SAS, Python, and Tableau
Utilize SAS to query bank databases
Utilize SQL and Oracle SQL programming
Utilize SAS analytics and SAS Grid
Utilize UNIX scripts
Utilize TSYS mainframe through Visual basic and SAS Scripts
Utilize PL/SQL and SQL loader calling Unix Scripts
Developing UNIX Shell scripts for Batch processing
Validate files
Create batch update files
Compile and validate lists
Apply remediation treatment on impacted accounts

Nice To Haves

Data issues related to quality, lineage, controls, and authoritative source identification
Data sources, methodologies, and quality findings with recommendations for improvement
Data pipelines to automate data movement and processing
Validated logical data models
Actionable business recommendations that drive operational and process improvements
Leveraging machine learning/AI
Translate analytical findings into actionable business recommendations
Identifying opportunities for operational and process improvements
Automate reporting processes for regular and ad-hoc stakeholder needs
Advise and influence decision making
Contribute to policy development
Take responsibility for operational effectiveness
Collaborate closely with other functions/ business divisions
Lead a team performing complex tasks
Set objectives and coach employees
Appraisal of performance relative to objectives and determination of reward outcomes
Demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard.
Lead collaborative assignments and guide team members through structured assignments
Identify the need for the inclusion of other areas of specialisation to complete assignments.
Identify new directions for assignments and/ or projects
Identifying a combination of cross functional methodologies or practices to meet required outcomes.
Consult on complex issues; providing advice to People Leaders to support the resolution of escalated issues.
Identify ways to mitigate risk and developing new policies/procedures in support of the control and governance agenda.
Take ownership for managing risk and strengthening controls in relation to the work done.
Perform work that is closely related to that of other areas, which requires understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function.
Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategy.
Engage in complex analysis of data from multiple sources of information, internal and external sources such as procedures and practises (in other areas, teams, companies, etc).to solve problems creatively and effectively.
Communicate complex information.
Influence or convince stakeholders to achieve outcomes.
Demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship
Demonstrate the Barclays Mindset – to Empower, Challenge and Drive

Responsibilities

Investigation and analysis of data issues related to quality, lineage, controls, and authoritative source identification.
Documenting data sources, methodologies, and quality findings with recommendations for improvement.
Designing and building data pipelines to automate data movement and processing.
Apply advanced analytical techniques to large datasets to uncover trends and correlations, develop validated logical data models, and translate insights into actionable business recommendations that drive operational and process improvements, leveraging machine learning/AI.
Through data-driven analysis, translate analytical findings into actionable business recommendations, identifying opportunities for operational and process improvements.
Design and create interactive dashboards and visual reports using applicable tools and automate reporting processes for regular and ad-hoc stakeholder needs.
Examine data repositories and generate periodic reports to assist with resolution of consumer and commercial card and loan bank wide issues for the Customer Remediation Team (“CRT”) within Barclays Customer Delivery business.
Create complex queries utilizing SAS, Python, and Tableau to extract data from multiple data sources.
Utilize SAS to query bank databases to identify accounts impacted by opened incidents.
Utilize SQL and Oracle SQL programming to extract, load, and transform customer specific data.
Utilize SAS analytics and SAS Grid to design and create datasets from various sources including MS excel, MS Access, flat files, and Oracle files.
Utilize UNIX scripts for automating processes and integration within existing operational framework.
Utilize TSYS mainframe through Visual basic and SAS Scripts as per test scenarios to condition test data and validate test results.
Utilize PL/SQL and SQL loader calling Unix Scripts to download and manipulate files.
Responsible for developing UNIX Shell scripts for Batch processing of data files to update accounts.
Identify accounts as defined by business requirements.
Ensure the validation of files and assist in making changes as needed based on requirements and the creation of batch update files.
Compile and validate lists and apply remediation treatment on impacted accounts.